Show Notes
How I chose my masters degree (as an international student)
I'm a FAANG data scientist but my masters was in computer science? This was actually very intentional! In this video, I outline how I chose my computer science masters degree. I was an international student looking to study in the United States who did not have a technical degree in computer science, engineering, or anything even remotely related. I was gonna be a doctor lol. ______________________________________________________________________Ken's video on how he chose his masters degree: https://www.youtube.com/watch?v=domVw8isGOI&t=303sOur collab video on 7 Things to Look For in a Masters For Data Science:https://www.youtube.com/watch?v=ji7DtgUeKCI______________________________________________________________________You might also be interested in these videos:Upenn MCIT experience: https://www.youtube.com/watch?v=KsQU_3n0IYEThe Resume that got me my FAANG job (entry level data scientist):https://www.youtube.com/watch?v=vx-x-yXXE9I Day in the life of a FAANG Data Scientist: https://www.youtube.com/watch?v=lCi6fWuI8r4 ______________________________________________________________________Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________Check out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tinaAlso my SQL data science interview question walkthroughs in real interview style: hhttps://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA&index=1______________________________________________________________________Contact:youtube: youtube comments are by far the best way to get a response from me! I answer every single comment! linkedin: https://www.linkedin.com/in/tinaw-h/ (second preferred)email: [email protected] *If you're reaching out through linkedin or email, I can get back to you the fastest if you leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________*The StrataScratch affiliate program gives me a small portion of the sales price at no cost to you. I'm currently not monetized and really appreciate your support in helping improve this channel! :)#DataScience #ComputerScience #ComputerScienceMasters
Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang.
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More from Tina Huang
Watch This If You Need AI Use Cases Inspo Tina is a former data scientist at Meta. Her channel focuses on AI, coding, tech, career development, and self-study. Always striving to minimize effort while maximizing outcomes. In fact, she firmly avoids doing extra work to reach her goals - one of the many reasons she loves AI. Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1 Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. -------
ADE is here!Tina is a former data scientist at Meta.Her channel focuses on AI, coding, tech, career development, and self-study.Always striving to minimize effort while maximizing outcomes.In fact, she firmly avoids doing extra work to reach her goals - one of the many reasons she loves AI.Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.
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The Ultimate Guide to Land a Data Science Internship | schedule and time management survival guideIn this video, I walk through the entire process of landing a data science internship + 2 backup plans! I feel like there are lots of videos that talk about the recruiting process but don’t go into detail about how to best apply and interview. Most importantly, what to do if things don’t work out. I also include tips for time management, how to prioritize, and how to keep sane. Happy recruiting season! 😱Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.---------- ---------------------------------------The Ultimate Guide to Land a Data Science Internship | schedule and time management survival guideIn this video, I walk through the entire process of landing a data science internship + 2 backup plans! I feel like there are lots of videos that talk about the recruiting process but don’t go into detail about how to best apply and interview. Most importantly, what to do if things don’t work out. I also include tips for time management, how to prioritize, and how to keep sane. Happy recruiting season! 😱Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.